Automated Malware Relationship Mining

<p>Since last year, Holmes-Processing has acquired a large dataset of labeled malware samples, which can be used for deep learning based malware relationship mining. This labeled dataset of over 50k samples should be a big help to do malware relationship detection. Besides, as a result of the previous GSoC’17, we also have an efficient data model for the malware relationships.</p> <p>Therefore, the goals of this project are to</p> <ol> <li>implement a decent learning model to predict labels of each malware sample</li> <li>discover relationships between different malware samples</li> <li>visualize relationships in frontend</li> <li>and build an analytic pipeline to integrate the implemented services.</li> </ol>